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15 search results found

3d Machine Learning ⭐ 8,647

A resource repository for 3D machine learning

Pointnet ⭐ 4,396

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Geotransformer ⭐ 422

[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

Flownet3d ⭐ 332

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

Samplenet ⭐ 324

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

2dimageto3dmodel ⭐ 190

We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

Semantic3dnet ⭐ 178

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

Learning_to_sample ⭐ 160

A learned sampling approach for point clouds (CVPR 2019)

Deepi2p ⭐ 155

DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

3dgnn_pytorch ⭐ 142

3D Graph Neural Networks for RGBD Semantic Segmentation

Sparenet ⭐ 119

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

Birdnet2 ⭐ 41

Official Pytorch implementation of Birdnet+

Pointcloudengine ⭐ 34

Point Cloud Rendering Engine with Octree Generation, Splat Blending, Phong Lighting and Neural Network Evaluation

Dynamic Gcnn ⭐ 32

Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation

PVRNet: Point-View Relation Neural Network for 3D Shape Recognition (AAAI 2019)

Point2mesh ⭐ 17

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)

Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.

3d Semantic Segmentation For Scene Parsing ⭐ 13

A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method

Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration

Pointwise Convolutional Neural Network ⭐ 7

PyTorch implementation of Pointwise Convolutional Neural Networks in CVPR 2018.

Point_cloud_completion ⭐ 6

Code for my point cloud completion paper in CVF-ICCV2017

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